Abstract

In recent years, air pollution has emerged as a significant environmental issue, particularly in urban areas. This article presents an analysis of air pollution levels in the vicinity of Adamawa State University, employing an innovative fuzzy inference system model to quantify and assess pollution levels and their implications for public health and the environment. A Mandani-type fuzzy logic model is developed based on two input variables (CO2 and NO2) and the output variable (air quality index, AQI), using fuzzy logic toolbox of MATLAB. In particular, the specific objectives of this paper are to develop a fuzzy rule-based model and to analyze the system-generated surfaces. Different weighting factors were then assigned to each pollutant according to its priority. Triangular membership functions were employed for classifications and the final index consisted of twenty-five inference rules. The results obtained shown that the air quality of the study area is excellent based on the air quality index classification by the Environmental Protection Agency (EPA) which is appropriate for outdoor activities. Improving carbon dioxide (CO2) and nitrogen dioxide (NO2) concentration levels in the atmosphere requires a multi-faceted approach involving the use of renewable energy source such as solar and wind, Implement energy-efficient appliances and LEDs in households, invest in tree planting and forest conservation efforts to absorb CO2 from the atmosphere, encourage urban greening initiatives, such as community gardens and green roofs, and use of electric or hybrid vehicles.